Abstract— Scientific computing is being increasingly deployed over volunteer-based distributed computing environments consisting of idle resources on donated user machines. A fu...
: The integrated approach for analysis of Large Complex Critical Infrastructures (LCCIs) to afford survivability aimed at preparing a Roadmap for Research and Development for criti...
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
Tiago Antao, Ana Lopes, Ricardo J. Lopes, Albano B...
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...